| Biography | |
|---|---|
 Prof. Yichuan Zhao Georgia State University, USA |
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| Title: Penalized Empirical Likelihood for the Sparse Cox Model | |
| Abstract: The current penalized regression methods for selecting predictor variables and estimating the associated regression coefficients in the Cox model are mainly based on partial likelihood. In this paper, an empirical likelihood method is proposed for the Cox model in conjunction with appropriate penalty functions when the dimensionality of data is high. Theoretical properties of the resulting estimator for the large sample are proved. Simulation studies suggest that empirical likelihood works better than partial likelihood in terms of selecting correct predictors without introducing more model errors. The well-known primary biliary cirrhosis data set is used to illustrate the proposed empirical likelihood method. | |
| Biography: Dr. Yichuan Zhao is a Full Professor of Statistics, Georgia State University, Atlanta. He has a joint appointment as Associate Member of the Neuroscience Institute and he is also an affiliated faculty member of School of Public Health at Georgia State University. Dr. Zhao has a B.S. and an M.S. in Mathematics from Peking University, and an M.S. in Stochastics and Operations Research from Utrecht University. He received his Ph.D. in Statistics at Florida State University. His current research interest focuses on survival analysis, empirical likelihood method, nonparametric statistics, statistical analysis of ROC curves, high-dimensional data analysis, bioinformatics, Monte Carlo methods, and statistical modeling of fuzzy systems. He has published over 90 research articles in Statistics and Biostatistics research fields. Dr. Zhao has organized the Workshop Series on Biostatistics and Bioinformatics since its initiation in 2012. The ICSA Springer Book from the workshop can be found through New Frontiers of Biostatistics and Bioinformatics. He also organized the 25th ICSA Applied Statistics Symposium in Atlanta as chairs of organizing committee and program committee to great success. The ICSA Springer Book from the Symposium reflects new challenges in the contemporary data era, see the Springer Book: New Advances in Statistics and Data Science for details. A book reflects statistical modeling in biomedical research, see the book: Statistical Modeling in Biomedical Research. He served on program committee of numerous statistical conferences, and is currently serving on the editorial board, for several statistical journals including Journal of Applied Statistics. Dr. Zhao is an elected member of the International Statistical Institute. | |
